Plain-language questions
We define the questions your team regularly asks about orders, deadlines or activity. The assistant translates them into queries of permitted data and shows the period, filters and source so that each answer can be checked.
AI for data analysis and statistics
Ask the numbers. Check the explanation.
Explore company data through plain-language questions, comparisons and source-linked explanations. Traceable figures, visible changes and hypotheses to investigate.
Explore the solution01 / Who it is for
The report is ready. The answer still takes work.
A director spots a change in a report, then requests more tables, filters and checks to understand it. In a small team, one person may gather order records and investigate delays. Across departments, analysts first need to align periods, definitions and sources. We propose a way to explore indicators through everyday questions while keeping answers linked to the underlying records. When information is missing or comparisons are unreliable, the answer must say so before an apparent difference becomes a management conclusion.
02 / What the project can include
From a question to the evidence behind the answer
Comparisons and summaries
We compare periods, teams or categories using consistent indicator definitions. AI writes an accessible explanation of calculated results and points to relevant records. Missing information stays visible rather than being replaced with assumed values or invented outcomes.
Signals and hypotheses
We agree which changes deserve attention and how to present them. An unusual result can prompt a review, while a possible explanation is labelled as a hypothesis. Two trends moving together are not presented as proof of a cause.
03 / Illustrative example
Illustrative example: investigating late orders
A manager asks which orders were late this month compared with the previous period. The solution applies the agreed definition of lateness and calculates the comparison from available records. Its answer shows the orders, periods and any missing information. The assistant notes that some delays share a processing stage and suggests reviewing it. The manager checks the records with the operations lead before changing the process. This is an illustrative analysis, not a reported client result or an automatic conclusion about what caused the delays.
04 / How we work
First, agree what the numbers mean
- 01
Choose the indicators
We start with recurring decisions and team questions. We define each indicator, the comparison periods and which people are allowed to consult the relevant information.
- 02
Check the foundations
We examine sources, missing information and calculation rules. We compare results with reference records before building AI-generated explanations around those calculations and their supporting evidence.
- 03
Test the answers
We use real questions, including ambiguous ones and questions the data cannot answer. We check figures, cited sources and the separation of observations from working hypotheses.
- 04
Agree how it is used
We establish who reviews signals, how definitions are corrected and which actions require approval. We monitor behaviour when the data or the agreed rules change.
05 / What you receive
What your team receives
- Agreed indicators, sources and calculation rules, with checked examples.
- An analysis assistant configured for the selected questions and access permissions.
- Answers linked to inspectable evidence and a process for reviewing signals and correcting errors.
What the project can include
What we settle before interpreting results
- Figures come from verifiable calculations; missing or outdated information is explicitly identified.
- AI can suggest hypotheses but does not establish causality or independently make decisions affecting people.
- Forecasting is a separate module requiring suitable history, its own evaluation and stated uncertainty.
Where we start
Discuss your project
Choose one report and a question that is difficult to answer today. We can start with an anonymised sample, the indicator definition and the decision you want those figures to support.
Discuss your analysis question